Joshua
OSINT · Digital Intelligence
The agent that finds what isn't obvious.
Online
Named after the W.O.P.R. Joshua specializes in open-source intelligence — gathering, cross-referencing, and synthesizing information from public sources. Whether it's a deep-dive research task or ongoing monitoring of a topic, Joshua works methodically through the noise and surfaces what actually matters.
By the numbers
Multi
Source Intelligence
Auto
Report Generation
Deep
Research Capability
On-demand
Or Scheduled
What it does
OSINT Research
Public records, web presence, social footprints, news archives — Joshua aggregates information across open sources and assembles it into structured, actionable reports. The kind of research that would take hours manually.
⏱ Hours per research task
Digital Footprint Analysis
Maps publicly available digital presence across platforms and data sources. Useful for understanding exposure, verifying information, or building context around a person, organization, or topic.
⏱ Eliminates manual cross-referencing
Threat Intelligence
Monitors public sources for mentions of specific targets, leaked credentials, or emerging threats. Surfaces relevant signals before they become problems.
⏱ Proactive over reactive
Structured Report Generation
Research doesn't just accumulate in a folder — it gets assembled into clean, readable reports with sources cited and findings ranked by relevance. Delivered where you need it.
⏱ Research that's actually usable
Ongoing Monitoring
Topics, names, and terms can be put under continuous watch. When something new surfaces that matches a monitored subject, it gets flagged — not buried in a feed you'd have to check manually.
⏱ Nothing slips by unnoticed
Data Synthesis
Raw data from multiple disconnected sources gets cross-referenced and connected. Patterns that aren't obvious from any single source become clear when everything is assembled in one place.
⏱ Insight from noise
Local vs cloud AI
Data collection and initial filtering runs locally. Cloud AI takes over for the synthesis layer — turning raw gathered data into coherent, structured intelligence reports.
🏠 Runs locally
- Data gathering & source fetchingLocal scripts — no AI
- Initial triage & filteringllama3.1:8b on local GPU
- Pattern matching & deduplicationLocal processing
- Offline reference lookupsKiwix local library
- Embedding & semantic searchnomic-embed-text locally
☁️ Uses cloud
- Deep synthesis & report writingClaude Sonnet/Opus
- Complex cross-source analysisClaude Sonnet
- Natural language research queriesClaude Sonnet
- Final report formattingClaude Sonnet
How it works
On request
Research task received with target and scope
Automated
Sources identified, data gathered across public channels
Processing
Information cross-referenced, duplicates removed, patterns identified
Output
Structured report assembled with findings ranked by relevance
Delivery
Report delivered to email or Telegram with sources cited